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Updated: Jan 13, 2026

Patient Directed Recording of a Bipolar Three-Lead Electrocardiogram using a Smartwatch with ECG Function
05:03

Patient Directed Recording of a Bipolar Three-Lead Electrocardiogram using a Smartwatch with ECG Function

Published on: December 11, 2019

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在患有心力衰竭或心肌梗塞的患者中,基于深度学习的风险评估和预测心脏结果,使用单线24小时霍尔特电图

Ju Youn Kim1, Kyung Geun Kim2,3, Sunghoon Joo2

  • 1Division of Cardiology, Department of Internal Medicine, Heart Vascular and Stroke Institute, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul 06351, Republic of Korea.

Journal of clinical medicine
|October 29, 2025
PubMed
概括

使用Holter-ECG的深度学习模型有效地预测心脏病发作或心力衰竭后的心脏病死亡和心律失常. 这种先进的工具超越了传统的标记,为更好的患者结果提供了更好的风险分层.

关键词:
在T波交替中使用T波.心脏病死亡 心脏病死亡深度学习是一种深度学习.射出分数的射出分数心脏衰竭是因为心脏衰竭.心率的动,心率的动荡.心肌梗塞的心脏病发作腹腔心律不整 腹腔心律不整

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